Paloma Maı́n

23 papers and 437 indexed citations i.

About

Paloma Maı́n is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Paloma Maı́n has authored 23 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Paloma Maı́n’s work include Bayesian Modeling and Causal Inference (8 papers), Advanced Statistical Methods and Models (7 papers) and Statistical Methods and Bayesian Inference (4 papers). Paloma Maı́n is often cited by papers focused on Bayesian Modeling and Causal Inference (8 papers), Advanced Statistical Methods and Models (7 papers) and Statistical Methods and Bayesian Inference (4 papers). Paloma Maı́n collaborates with scholars based in Spain, Switzerland and United Kingdom. Paloma Maı́n's co-authors include Kevin Cowtan, Miguel A. Gómez–Villegas, Hilario Navarro, Morven Leese, Jorge M. Arevalillo, Angelo Gámez‐Pozo, Mariana Díaz‐Almirón, Juan Ángel Fresno Vara, Enrique Espinosa and Rocío López‐Vacas and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Paloma Maı́n i

Fields of papers citing papers by Paloma Maı́n

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paloma Maı́n. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Paloma Maı́n. The network helps show where Paloma Maı́n may publish in the future.

Countries citing papers authored by Paloma Maı́n

Since Specialization
Citations

This map shows the geographic impact of Paloma Maı́n's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Paloma Maı́n with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paloma Maı́n more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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